Using GUI Change Detection for Delta Testing

Fernando Pastor Ricós; Rick Neeft; Beatriz Marín; Tanja E.J. Vos; Pekka Aho

doi:10.1007/978-3-031-33080-3_32

Using GUI Change Detection for Delta Testing

Fernando Pastor Ricós^*, Rick Neeft, Beatriz Marín, Tanja E.J. Vos, Pekka Aho

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference Article in proceeding › Academic › peer-review

Abstract

Current software development processes in the industry are designed to respond to rapid modification or changes in software features. Delta testing is a technique used to check that the identified changes are deliberate and neither compromise existing functionality nor result in introducing new defects. This paper proposes a technique for delta testing at the Graphical User Interface (GUI) level. We employ scriptless testing and state-model inference to automatically detect and visualize GUI changes between different versions of the same application. Our proposed offline change detection algorithm compares two existing GUI state models to detect changes. We present a proof of concept experiment with the open-source application Notepad++, which allows automatic inference and highlights GUI changes. The results show that our technique is a valuable amplification of scriptless testing tools for delta testing.

Original language	English
Title of host publication	Research Challenges in Information Science
Subtitle of host publication	Information Science and the Connected World - 17th International Conference, RCIS 2023, Proceedings
Editors	Selmin Nurcan, Andreas L. Opdahl, Haralambos Mouratidis, Aggeliki Tsohou
Publisher	Springer, Cham
Pages	509-517
Number of pages	9
Edition	1
ISBN (Electronic)	978-3-031-33080-3
ISBN (Print)	9783031330797
DOIs	https://doi.org/10.1007/978-3-031-33080-3_32
Publication status	Published - May 2023
Event	17th International Conference on Research Challenges in Information Sciences, RCIS 2023 - Corfu, Greece Duration: 23 May 2023 → 26 May 2023 https://www.rcis-conf.com/rcis2023/

Publication series

Series	Lecture Notes in Business Information Processing
Volume	476 LNBIP
ISSN	1865-1348

Conference

Conference	17th International Conference on Research Challenges in Information Sciences, RCIS 2023
Country/Territory	Greece
City	Corfu
Period	23/05/23 → 26/05/23
Internet address	https://www.rcis-conf.com/rcis2023/

Keywords

Delta testing
GUI change detection
Scriptless testing
State-model inference

Access to Document

10.1007/978-3-031-33080-3_32

Cite this

Ricós, F. P., Neeft, R., Marín, B., Vos, T. E. J., & Aho, P. (2023). Using GUI Change Detection for Delta Testing. In S. Nurcan, A. L. Opdahl, H. Mouratidis, & A. Tsohou (Eds.), Research Challenges in Information Science: Information Science and the Connected World - 17th International Conference, RCIS 2023, Proceedings (1 ed., pp. 509-517). Springer, Cham. https://doi.org/10.1007/978-3-031-33080-3_32

Ricós, Fernando Pastor ; Neeft, Rick ; Marín, Beatriz et al. / Using GUI Change Detection for Delta Testing. Research Challenges in Information Science: Information Science and the Connected World - 17th International Conference, RCIS 2023, Proceedings. editor / Selmin Nurcan ; Andreas L. Opdahl ; Haralambos Mouratidis ; Aggeliki Tsohou. 1. ed. Springer, Cham, 2023. pp. 509-517 (Lecture Notes in Business Information Processing, Vol. 476 LNBIP).

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title = "Using GUI Change Detection for Delta Testing",

abstract = "Current software development processes in the industry are designed to respond to rapid modification or changes in software features. Delta testing is a technique used to check that the identified changes are deliberate and neither compromise existing functionality nor result in introducing new defects. This paper proposes a technique for delta testing at the Graphical User Interface (GUI) level. We employ scriptless testing and state-model inference to automatically detect and visualize GUI changes between different versions of the same application. Our proposed offline change detection algorithm compares two existing GUI state models to detect changes. We present a proof of concept experiment with the open-source application Notepad++, which allows automatic inference and highlights GUI changes. The results show that our technique is a valuable amplification of scriptless testing tools for delta testing.",

keywords = "Delta testing, GUI change detection, Scriptless testing, State-model inference",

author = "Ric{\'o}s, {Fernando Pastor} and Rick Neeft and Beatriz Mar{\'i}n and Vos, {Tanja E.J.} and Pekka Aho",

note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 17th International Conference on Research Challenges in Information Sciences, RCIS 2023 ; Conference date: 23-05-2023 Through 26-05-2023",

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doi = "10.1007/978-3-031-33080-3_32",

language = "English",

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series = "Lecture Notes in Business Information Processing",

publisher = "Springer, Cham",

pages = "509--517",

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Ricós, FP, Neeft, R, Marín, B, Vos, TEJ & Aho, P 2023, Using GUI Change Detection for Delta Testing. in S Nurcan, AL Opdahl, H Mouratidis & A Tsohou (eds), Research Challenges in Information Science: Information Science and the Connected World - 17th International Conference, RCIS 2023, Proceedings. 1 edn, Springer, Cham, Lecture Notes in Business Information Processing, vol. 476 LNBIP, pp. 509-517, 17th International Conference on Research Challenges in Information Sciences, RCIS 2023, Corfu, Greece, 23/05/23. https://doi.org/10.1007/978-3-031-33080-3_32

Using GUI Change Detection for Delta Testing. / Ricós, Fernando Pastor; Neeft, Rick; Marín, Beatriz et al.
Research Challenges in Information Science: Information Science and the Connected World - 17th International Conference, RCIS 2023, Proceedings. ed. / Selmin Nurcan; Andreas L. Opdahl; Haralambos Mouratidis; Aggeliki Tsohou. 1. ed. Springer, Cham, 2023. p. 509-517 (Lecture Notes in Business Information Processing, Vol. 476 LNBIP).

Research output: Chapter in Book/Report/Conference proceeding › Conference Article in proceeding › Academic › peer-review

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AB - Current software development processes in the industry are designed to respond to rapid modification or changes in software features. Delta testing is a technique used to check that the identified changes are deliberate and neither compromise existing functionality nor result in introducing new defects. This paper proposes a technique for delta testing at the Graphical User Interface (GUI) level. We employ scriptless testing and state-model inference to automatically detect and visualize GUI changes between different versions of the same application. Our proposed offline change detection algorithm compares two existing GUI state models to detect changes. We present a proof of concept experiment with the open-source application Notepad++, which allows automatic inference and highlights GUI changes. The results show that our technique is a valuable amplification of scriptless testing tools for delta testing.

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Ricós FP, Neeft R, Marín B, Vos TEJ, Aho P. Using GUI Change Detection for Delta Testing. In Nurcan S, Opdahl AL, Mouratidis H, Tsohou A, editors, Research Challenges in Information Science: Information Science and the Connected World - 17th International Conference, RCIS 2023, Proceedings. 1 ed. Springer, Cham. 2023. p. 509-517. (Lecture Notes in Business Information Processing, Vol. 476 LNBIP). doi: 10.1007/978-3-031-33080-3_32